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Marks & Spencer Product Scraper

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Pay $3.99 for 1,000 products

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Marks & Spencer Product Scraper

Marks & Spencer Product Scraper

samm4444/mands
Try for free

Pay $3.99 for 1,000 products

Get a list of products from the multinational British retailer Marks and Spencer. Each product has details such as the name, description, price, rating and the URL to find more information.

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • 5.0 / 5 (1)

  • No bookmarks yet

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified 22 days ago

Categories

You can access the Marks & Spencer Product Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://www.marksandspencer.com/search?searchTerm=cotton+shirt+yellow" }],
10    "allowedDomains": [
11        "apify.com",
12        "marksandspencer.com",
13    ],
14    "proxyConfiguration": { "useApifyProxy": True },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("samm4444/mands").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Marks & Spencer Product Scraper API in Python

The Apify API client for Python is the official library that allows you to use Marks & Spencer Product Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include: